Legjobb magyar whisper modellek
Collection
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Updated
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This model is a fine-tuned version of openai/whisper-large-v2 on the Common Voice 16.1 hu cleaned dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
---|---|---|---|---|---|
0.0716 | 0.34 | 100 | 0.0690 | 6.5849 | 5.9493 |
0.0539 | 0.69 | 200 | 0.0520 | 4.9650 | 4.4825 |
0.0381 | 1.03 | 300 | 0.0457 | 4.4900 | 4.0385 |
0.0235 | 1.37 | 400 | 0.0423 | 4.2854 | 3.7458 |
0.0221 | 1.72 | 500 | 0.0386 | 3.9786 | 3.5518 |
0.0158 | 2.06 | 600 | 0.0393 | 4.1403 | 3.6768 |
Base model
openai/whisper-large-v2